IDEAS home Printed from https://ideas.repec.org/a/ags/gjagec/334163.html
   My bibliography  Save this article

Attribute Non Attendance and Consumer Preferences for Online Food Products in Germany

Author

Listed:
  • Richartz, P. Christoph
  • Abdulai, Awudu
  • Kornher, Lukas

Abstract

In this article, we apply a choice experiment method to examine consumers’ preferences for online food product attributes, using survey data for German consumers for meat products. We use both mixed logit and latent class models to analyze preference heterogeneity and sources of heterogeneity, as well as endogenous attribute attendance models to account for consumers’ attribute processing strategies. The empirical results reveal significant heterogeneity in preferences for online meat attributes among consumers. We also find that consumers’ willingness to pay estimates are highly influenced by their attribute processing strategies.

Suggested Citation

  • Richartz, P. Christoph & Abdulai, Awudu & Kornher, Lukas, 2020. "Attribute Non Attendance and Consumer Preferences for Online Food Products in Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 69(1), March.
    • Handle: RePEc:ags:gjagec:334163
    DOI: 10.22004/ag.econ.334163
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/334163/files/3_Abdulai.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.334163?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zander, Katrin & Hamm, Ulrich, 2010. "Welche zusätzlichen ethischen Eigenschaften ökologischer Lebensmittel interessieren Verbraucher?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(04), pages 1-12, December.
    2. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Hole, Arne Risa, 2011. "A discrete choice model with endogenous attribute attendance," Economics Letters, Elsevier, vol. 110(3), pages 203-205, March.
    6. Glynn T. Tonsor & Robert S. Shupp, 2011. "Cheap Talk Scripts and Online Choice Experiments: "Looking Beyond the Mean"," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1015-1031.
    7. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    8. Nirvikar Singh, 2008. "Transaction costs, information technology and development," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 1(2), pages 212-236, September.
    9. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    10. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    11. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    12. Muhammad Bello & Awudu Abdulai, 2016. "Impact of Ex-Ante Hypothetical Bias Mitigation Methods on Attribute Non-Attendance in Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(5), pages 1486-1506.
    13. Stephane Hess & David Hensher, 2013. "Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach," Transportation, Springer, vol. 40(2), pages 397-412, February.
    14. Gregory Howard & Brian E. Roe & Erik C. Nisbet & Jay F. Martin, 2017. "Hypothetical Bias Mitigation Techniques in Choice Experiments: Do Cheap Talk and Honesty Priming Effects Fade with Repeated Choices?," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 543-573.
    15. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    16. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    17. Delfmann, Werner & Albers, Sascha & Müßig, Ralph & Becker, Felix & Harung, Finn K. & Schöneseiffen, Hannah & Skirnevskiy, Vitaly & Warschun, Mirko & Rühle, Jens & Bode, Philipp & Kukwa, Christian & Vo, 2011. "Concepts, challenges and market potential for online food retailing in Germany," Working Paper Series 108, University of Cologne, Department of Business Policy and Logistics.
    18. Albersmeier, Friederike & Spiller, Achim, 2010. "Die Reputation der Fleischwirtschaft: eine Kausalanalyse," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59(4).
    19. Van Loo, Ellen J. & Caputo, Vincenzina & Nayga, Rodolfo M. & Verbeke, Wim, 2014. "Consumers’ valuation of sustainability labels on meat," Food Policy, Elsevier, vol. 49(P1), pages 137-150.
    20. Zhao Ding & Awudu Abdulai, 2018. "Smallholder preferences and willingness-to-pay measures for microcredit," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(3), pages 462-481, July.
    21. Albersmeier, Friederike & Spiller, Achim, 2010. "Die Reputation der Fleischwirtschaft: eine Kausalanalyse," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(04), pages 1-13, December.
    22. Adam Drucker, 2007. "Measuring Heterogeneous Preferences for Cattle Traits among Cattle-Keeping Households in East Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 1005-1019.
    23. Anh Kim Dang & Bach Xuan Tran & Cuong Tat Nguyen & Huong Thi Le & Hoa Thi Do & Hinh Duc Nguyen & Long Hoang Nguyen & Tu Huu Nguyen & Hue Thi Mai & Tho Dinh Tran & Chau Ngo & Thuc Thi Minh Vu & Carl A., 2018. "Consumer Preference and Attitude Regarding Online Food Products in Hanoi, Vietnam," IJERPH, MDPI, vol. 15(5), pages 1-12, May.
    24. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    25. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    26. Yannis Bakos & Erik Brynjolfsson, 2000. "Bundling and Competition on the Internet," Marketing Science, INFORMS, vol. 19(1), pages 63-82, May.
    27. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kassie, Girma T. & Zeleke, Fresenbet & Birhanu, Mulugeta Y. & Scarpa, Riccardo, 2020. "Reminder Nudge, Attribute Nonattendance, and Willingness to Pay in a Discrete Choice Experiment," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304208, Agricultural and Applied Economics Association.
    2. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    3. DeLong, Karen L. & Syrengelas, Konstantinos G. & Grebitus, Carola & Nayga, Rodolfo M., 2021. "Visual versus Text Attribute Representation in Choice Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    4. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    5. Ching-Hua Yeh & Monika Hartmann, 2021. "To Purchase or Not to Purchase? Drivers of Consumers’ Preferences for Animal Welfare in Their Meat Choice," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    6. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    7. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
    8. Julia Blasch & Robert W. Turner, 2016. "Environmental art, prior knowledge about climate change, and carbon offsets," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(4), pages 691-705, December.
    9. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    10. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    11. Díaz, Verónica & Montoya, Ricardo & Maldonado, Sebastián, 2023. "Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach," European Journal of Operational Research, Elsevier, vol. 304(2), pages 797-812.
    12. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    13. Oyakhilomen Oyinbo & Jordan Chamberlin & Miet Maertens, 2020. "Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 798-815, September.
    14. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2020. "Dealing with ignored attributes through an inferred approach in wine choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    15. Kanchanaroek, Yingluk & Termansen, Mette & Quinn, Claire, 2013. "Property rights regimes in complex fishery management systems: A choice experiment application," Ecological Economics, Elsevier, vol. 93(C), pages 363-373.
    16. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 212609, International Association of Agricultural Economists.
    17. Dan Pan, 2016. "The Design of Policy Instruments towards Sustainable Livestock Production in China: An Application of the Choice Experiment Method," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    18. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    19. Venus, Terese E. & Sauer, Johannes, 2022. "Certainty pays off: The public's value of environmental monitoring," Ecological Economics, Elsevier, vol. 191(C).
    20. Klaiman, Kimberly & Ortega, David L. & Garnache, Cloé, 2016. "Consumer preferences and demand for packaging material and recyclability," Resources, Conservation & Recycling, Elsevier, vol. 115(C), pages 1-8.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:gjagec:334163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iahubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.